This paper considers further development of the method for pre-design studies aimed at improving the reliability, survivability, and safety of complex mechanical systems, assembly units, and parts in accordance with the criteria of strength and resource. The Self-Organization Principle is represented as a combination of a heuristic hierarchical transdisciplinary model and metaheuristic and heuristic rules that automatically create a decision algorithm. The algorithm is determined by the object of study, by the chosen goal, and by the scientific and industrial description of the tasks. The representation of tasks as metaheuristics and heuristics allows for the use of methods and means for artificial intelligence, in particular, expert systems. Metaheuristics and heuristics are compiled by domain experts with further incorporation into the knowledge bases of the corresponding hierarchical complex of Expert Systems and Computational Modules.
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17 December 2020
MECHANICS, RESOURCE AND DIAGNOSTICS OF MATERIALS AND STRUCTURES (MRDMS-2020): Proceeding of the 14th International Conference on Mechanics, Resource and Diagnostics of Materials and Structures
9–13 November 2020
Ekaterinburg, Russia
Research Article|
December 17 2020
Justification of the reliability and survivability properties of complex mechanical systems based on the self-organization principle
A. F. Berman
A. F. Berman
Matrosov Institute for System Dynamics and Control Theory, Siberian Branch of the Russian Academy of Sciences
, 134 Lermontova St., Irkutsk, 664033, Russia
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Corresponding author: [email protected]
AIP Conf. Proc. 2315, 040007 (2020)
Citation
A. F. Berman; Justification of the reliability and survivability properties of complex mechanical systems based on the self-organization principle. AIP Conf. Proc. 17 December 2020; 2315 (1): 040007. https://doi.org/10.1063/5.0036814
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